Droneshark

DroneShark is a drone collision detector app that focuses on drone safety by using artificial intelligence to detect and prevent collisions.

DroneShark is an AI-powered collision detection system designed to enhance drone safety through real-time object recognition and edge-based processing. By leveraging advanced computer vision models like YOLOv8 and integrating seamlessly with drone hardware, DroneShark delivers instant alerts to prevent crashes and ensure smooth, autonomous flight. It's the smart safety layer every drone pilot needs.

The Technology

YOLOv8, DJI Mobile SDK, real-time video processing, TensorFlow Lite, and Core ML.

Why DroneShark is a Strong Investment

Investing in an AI-powered drone collision detection app under the brand DroneShark is a strategic move poised to capitalize on the rapidly expanding drone market. As drones become more prevalent in industries like delivery, agriculture, filmmaking, and emergency response, the demand for safety and autonomy solutions is intensifying—particularly in urban and obstacle-rich environments. DroneShark addresses a critical need with scalable, AI-driven technology that enhances both consumer and enterprise drone operations, potentially positioning itself as an indispensable tool in a sector ripe for innovation and regulation. With a strong brand name, growing regulatory tailwinds, and a clear path to early adoption through SDK integrations and edge AI, this venture offers a high-upside, defensible opportunity in a fast-growing ecosystem.

Risks — and Why We’re Ready

Growing Drone Industry: The rapid growth of the drone industry means more drones are sharing the skies, which increases the risk of mid-air and object collisions. Drones now account for a significant portion of near-miss incidents at major airports. As drones are used more for delivery, inspection, and other tasks, the crowded airspace makes robust collision avoidance solutions increasingly necessary.

AI is Ideal for This: AI, especially computer vision, is perfectly suited to address these risks. Modern models can detect and classify obstacles—like trees, buildings, or other aircraft—in real time using onboard cameras. This allows drones to autonomously adjust their flight paths and avoid hazards, supporting safe and advanced operations such as Beyond Visual Line of Sight (BVLOS).

Regulatory Push: Some jurisdictions are starting to require collision avoidance features, which gives Droneshark a potential regulatory tailwind. The FAA’s emphasis on Beyond Visual Line of Sight (BVLOS) operations and Remote ID compliance highlights the need for collision avoidance systems. DroneShark’s ties into ensuring drones operate safely in shared airspace, integrating with these new regulations.